mass-ulw
mass-ulw is a Multi-stage workflow orchestration skill for AI agents, published by code-yeongyu in the oh-my-openagent repository on GitHub. Skillspace rates mass-ulw D (68/100) and it passed the safety scan; a judge model has also reviewed it.
Drives dependency-ordered child work through the native workflow tool, one run per phase with retry/amend/send recovery. Use when the user asks for mass-ulw, a DAG of tasks, or fan-out work where some tasks must wait on others.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 69,009
Placed #5 of 6 in the judged category final for Multi-stage workflow orchestration.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #5 of 6 in the judged category final for Multi-stage workflow orchestration.
- Trigger
68 68 - Instructions
78 78 - Specificity
88 88 - Safety
70 70 - Disclosure
85 85 - Maintenance
78 78
Documents real gotchas, such as prompts being unable to see upstream output and a Python SDK detach quirk, and enforces reading its planning doctrine before any graph is defined.
Not checked yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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